Pearson's chi-squared test

Pearson's chi-squared test icon

Test the null hypothesis that an observed difference between sets of categorical data arose by chance by performing a Pearson's chi-squared test.

Details

Pearson's chi-squared applies to categorical data to evaluate how likely it is that any observed difference between the sets has arisen by chance. Select two categorical variables to create a contingency table containing the frequencies of the categories in these variables. A Pearson's chi-squared test will be performed on this contingency table.

Output

The first section of the output is a tabulation of the selected groups on which the Chi-Squared test will be performed. The second section is the printed output of a chisq.test run in R. There are more details on this printed output in the R documentation for chisq.test.

Parameters

Variable name Required Constraints Description
test_var Yes Column Input.

Text, Integer, Boolean, Date, DateTime

The first categorical variable from which to calculate the contingency table.
group_var Yes Column Input.

Text, Integer, Boolean, Date, DateTime

The second categorical variable from which to calculate the contingency table.

See Also

Updated on October 18, 2018

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